
Cloud Data Engineer
2 weeks ago
This is a unique opportunity for a talented and growth-minded professional to join our team as a Cloud Data Engineer. As a key member of our engineering team, you will play a crucial role in designing, building, and deploying scalable data processing systems on cloud platforms.
You will work closely with cross-functional teams to develop and maintain large-scale data pipelines, ensuring high-quality data delivery and optimal system performance. Your expertise in cloud-based data engineering will enable us to harness the power of cloud computing, streamline data processing, and drive business growth.
We are looking for an individual with strong technical skills, excellent problem-solving abilities, and a passion for innovation. If you are a motivated and collaborative professional who thrives in a fast-paced environment, we encourage you to apply.
Key Responsibilities:- Design and develop cloud-based data processing systems using AWS or Azure.
- Develop and maintain large-scale data pipelines using Apache Beam, Spark, or similar technologies.
- Collaborate with data scientists and analysts to understand data requirements and design optimal data architectures.
- Work with DevOps engineers to ensure smooth deployment and monitoring of data processing systems.
- Identify and resolve complex technical issues related to data processing, storage, and retrieval.
- Bachelor's degree in Computer Science, Engineering, or related field.
- 5+ years of experience in data engineering, software development, or a related field.
- Strong knowledge of cloud computing platforms (AWS or Azure) and containerization (Docker).
- Proficiency in programming languages such as Python, Java, or Scala.
- Experience with data processing frameworks like Apache Beam, Spark, or Flink.
- Excellent problem-solving skills and ability to work under pressure.
- A competitive salary package and bonus structure.
- A comprehensive benefits program including medical, dental, and vision coverage.
- A generous 401(k) matching program and retirement savings plan.
- A flexible work-from-home policy with regular virtual check-ins.
- Opportunities for career growth and professional development.
- A high-speed internet connection with reliable uptime.
- A dedicated computer with a modern processor, at least 8 GB of RAM, and sufficient storage capacity.
- A comfortable and quiet workspace with minimal distractions.
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